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Peaks studio 8

Manufactured by Bioinformatics Solutions
Sourced in Canada

PEAKS Studio 8.5 is a bioinformatics software tool designed for the analysis of mass spectrometry data. It provides a comprehensive suite of algorithms and tools for peptide and protein identification, quantification, and post-translational modification (PTM) analysis.

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52 protocols using peaks studio 8

1

Peptide Identification via Orbitrap LC-MS

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Samples digested with endolysosomal proteases were desalted using C18 ZipTips (EMD Millipore, Billerica, MA, USA). Resulting peptides were separated by reverse-phase nano-HPLC (Dionex Ultimate 3000, Thermo Fisher Scientific, Bremen, Germany, column: PepSwift Monolithic Nano Column, 100 μm × 25 cm, Dionex), where the column was eluted with an acetonitrile gradient (Solvent A: 0.1% (v/v) FA/0.01% (v/v) TFA/5% (v/v) ACN; solvent B: 0.1% (v/v) FA/0.01% (v/v) TFA/90% (v/v) ACN; 5–45% B in 60 min) at a flow rate of 1 μL/min at 55 °C. The peptides were analyzed by a Q Exactive Orbitrap mass spectrometer (Thermo Fisher Scientific) directly coupled to the HPLC. Capillary voltage at the nano-electrospray head was 2 kV. The instrument was tuned for maximum sensitivity. For peptide assignments, a top 12 method was used with the normalized fragmentation energy at 27%. Survey and fragment spectra were analyzed with Proteome Discoverer version 1.4 with SequestHT as search engine (Thermo Fisher Scientific) or PEAKS Studio 8 (Bioinformatics Solutions, Waterloo, ON, Canada), respectively. Searches were conducted with single allergen sequences. Only peptides with high confidence scores (XCorr ≥ 2.3 for SequestHT, −10lgP ≥ 35 for PEAKS) were considered.
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2

Quantitative Proteomic Analysis of Piriformospora and Brassica

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Raw spectral data were processed and quantitative ratios determined using PEAKS Studio 8 (Bioinformatics Solutions); parent mass tolerance was 15.0 ppm and fragment mass tolerance was 0.8 Da. Results were compared against UNIPROT databases of Piriformospora and Brassica (updated to April 2017). Protein identifications were accepted if the false detection rate (FDR) was <1% and if the score -10×log10 P was >20. The minimum number of unique peptides was set to 1, and the maximum number of post-translational modifications was set to 3. ANOVA was used to assess differences for statistical significance.
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3

Proteome Analysis of A. lumbricoides Worm

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5 μL of A. lumbricoides extract (1000 μg/mL) were digested with the ProteoExtract All-in-One Trypsin Digestion Kit (EMD Millipore, Billerica, MA, USA) and desalted using C18ZipTips (EMD Millipore, Billerica, MA, USA). Resulting peptides were separated by reverse-phase nano-high performance liquid chromatography (HPLC, Dionex Ultimate 3000, Thermo Fisher Scientific, Bremen, Germany, column: PepSwift Monolithic Nano Column, 100 μM × 25 cm, Dionex). The column was developed with an acetonitrile gradient (Solvent A: 0.1% (v/v) FA/0.01% (v/v) TFA/5% (v/v) ACN; solvent B: 0.1% (v/v) FA/0.01% (v/v) TFA/90% (v/v) ACN; 5–45% B in 60 min) at a flow rate of 1 μL/min at 55 °C). The HPLC was directly coupled via nano electrospray to a Q Exactive Orbitrap mass spectrometer (Thermo Fisher Scientific). Capillary voltage was 2 kV. For peptide assignment, a top 12 MS/MS method was used with the normalized fragmentation energy set to 27%. Proteins were identified with PEAKS Studio 8 (Bioinformatics Solutions, Waterloo, Canada), using the UniProt (SwissProt/TrEMBL) sequence database. For the identification of post-translational modifications and amino acid exchanges, the PTM and Spider modules of PEAKS Studio were used. Only peptides with high confidence scores (−10lgp ≥ 35, corresponding to false discovery rate (FDR) < 0.5%) were considered in the database searches.
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4

Proteomic Profiling of A. lumbricoides

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A. lumbricoides extract (1000 µg/mL) was digested using the ProteoExtract All-in-One Trypsin Digestion Kit (EMD Millipore, Billerica, MA, USA) and desalted using C18ZipTips (EMD Millipore, Billerica, MA, USA). Resulting peptides were separated by reverse-phase nano-high performance liquid chromatography (HPLC, Dionex Ultimate 3000, Thermo Fisher Scientific, Bremen, Germany, column: PepSwift Monolithic Nano Column, 100 µM × 25 cm, Dionex). The column was developed with an acetonitrile gradient (Solvent A: 0.1% (v/v) FA/0.01% (v/v) TFA/5% (v/v) ACN; solvent B: 0.1% (v/v) FA/0.01% (v/v) TFA/90% (v/v) ACN; 5–45% B in 60 min) at a flow rate of 1 µL/min at 55 °C. The HPLC was directly coupled via nano electrospray to a Q Exactive Orbitrap mass spectrometer (Thermo Fisher Scientific). Capillary voltage was 2 kV. For peptide assignment, a top 12 MS/MS method was used with the normalized fragmentation energy set to 27%. The protein was identified with PEAKS Studio 8 (Bioinformatics Solutions, Waterloo, ON, Canada) using the UniProt (SwissProt/TrEMBL) sequence database. Only peptides with high confidence scores (−10lgp ≥ 35, corresponding to false discovery rate (FDR) < 0.5%) were considered in the database searches [18 (link)]. Abundance of Al-CPI in the extract was calculated based on the “Area” parameter from the summarized proteomic search results [23 (link)].
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5

Mass Spectrometry Data Analysis

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PEAKS Studio 8.0 software (Bioinformatics Solutions Inc, Waterloo, Canada) was used for data processing and spectral analysis of original MS/MS files, including peptide annotation and quantitative analysis.
The parameters were set as follows: pepsin and trypsin were used as enzymes; the precursor and fragment mass error tolerance for database search were set to 10 PPM and 0.05 Da, respectively. The fixed modifications were set to carbamidomethylation, while the variable modifications included Oxidation (M), Acetyl (Protein N-term) and Phospho (STY). The detected MS/MS data was matched to the UniPro database. A false discovery rate (FDR) of 1 % was used for validation.
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6

Human Proteome Database Annotation

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All MS/MS ion spectra were analyzed using Peaks Studio 8.0 software (Bioinformatics Solutions Inc., Waterloo, ON, Canada) for processing, de novo sequencing and database searching. Resulting sequences were searched against the UniProt Human Proteome database (downloaded 5 May 2018) with mass error tolerances of 10 ppm and 0.02 Da for parent and fragment, respectively. The digestion enzyme trypsin allowed for two missed tryptic cleavages, Carbamidomethyl of cysteine specified as a fixed modification, and Oxidation of methionine and acetyl of the N-terminus as variable modifications. FDR estimation was enabled. Peptides were filtered for −10log p ≥ 20, and proteins were filtered for −10log p ≥ 15 and one unique peptide. For all experiments, this gave an FDR of <1% at the peptide-spectrum match level. Proteins sharing significant peptide evidence were grouped into clusters.
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7

In vitro Kinase Assay of AKT1 and SOD2

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In vitro kinase assays of GST‐tagged AKT1 and Flag‐tagged SOD2 WT or S27A were done, unlabeled ATP was used in the reactions. Then the reactions were terminated by freezing and processed for mass spectrometry. In brief, proteins were precipitated with acetone and the protein pellets were dried by using a SpeedVac for 1–2 min. The pellets were subsequently dissolved in 8 m urea, 100 mm tris‐HCl, pH 8.5. 5 mm TCEP (Thermo Scientific), and 10 mm iodoacetamide (Sigma) and alkylation were added to the solution and incubated at room temperature for 30 min, respectively. The protein mixtures were diluted four times and digested overnight with Trypsin at 1:50 w/w (Promega). The digested peptide solutions were desalted using a MonoSpin C18 column (GL Science, Tokyo, Japan) and dried with a SpeedVac.
The peptide mixtures were analyzed by LC/tandem MS (MS/MS). Data‐dependent tandem mass spectrometry (MS/MS) analysis was performed with a Q Exactive Orbitrap mass spectrometer (Thermo Scientific, San Jose, CA). The acquired MS/MS data were analyzed against a Swiss‐Prot Homo sapiens database using PEAKS Studio 8.5 (Bioinformatics Solutions, Waterloo, Ontario, Canada). The database search parameters were set as the followings: MS and MS/MS tolerance of 20 ppm and 0.1 Da, respectively, FDR was set as 1% and protein identification threshold was set as (−10 logP) ≧ 20.
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8

Mytilus Protein Identification by LC-MS/MS

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Following LC-MS/MS analysis, the QTOF data were searched using the Peaks Studio 8.5 search algorithm (Bioinformatics Solutions, Waterloo, ON, Canada) against an in-house Mytilus sequence database and the uniprot-mollusca-200718-290-109 sequence database. The following parameters were used: A precursor mass tolerance of 0.15 Da and a fragment mass tolerance of 0.15 Da were allowed, trypsin was specified as the digestive enzyme, and up to 2 missed cleavages were allowed. Carbamidomethyl (C) was specified as a fixed modification, and oxidation (M) and deamidation (NQ) were chosen as variable modifications. A false discovery rate (FDR) of 1% was used for peptide identification in Peaks. In addition, the Peptide Hit Threshold (−10log_) was set to 30, de novo only 15% of ALC, and only proteins with a minimum of 1 unique peptide identification were included.
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9

Proteomics Analysis by LC-MS/MS

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The proteomics analysis was done in collaboration with the Biomolecular/Proteomics Mass Spectrometry Facility at UCSD as described (Shevchenko, Wilm, Vorm, & Mann, 1996). Briefly, proteins were subjected to in‐gel tryptic digestion and the peptides were analyzed by ultra‐high‐pressure liquid chromatography (UPLC) coupled with tandem mass spectroscopy (LC‐MS/MS) using nanospray ionization. The nanospray ionization experiments were performed using an Orbitrap fusion Lumos hybrid mass spectrometer (Thermo) interfaced with nanoscale reversed‐phase UPLC (Thermo Dionex UltiMate™ 3000 RSLC nano System). Protein identification and label‐free quantification were carried out using PEAKS Studio 8.5 (Bioinformatics Solutions Inc.)
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10

Proteomic Analysis of Avian Proteins

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Bioinformatic analysis was carried out using PEAKS Studio 8.5 [Bioinformatics Solutions, Inc (100 )]. After conducting preliminary screening in order to ensure uniformity across the results, the raw tandem mass spectrometry data from the three samples were combined in a single search. The thresholds for peptide and protein identification were set as follows: peptide score −10lgP ≥ 30, protein score −10lgP ≥ 40, de novo sequences scores (ALC%) ≥ 80, unique peptides ≥ 2 (threshold lowered to unique peptides ≥ 0 for sequence reconstruction so that all reference sequences could be taken into account). The NCBI database (taxonomy restricted to Aves) was used for carrying out preliminary searches, and a database including common contaminants was included (Common Repository of Adventitious Proteins: https://www.thegpm.org/crap/). Further searches were performed against the annotated lactadherin and XCA-1 sequences as described in Annotations using B10K genomes. The proteomics datasets have been deposited to the ProteomeXchange Consortium via the Proteomics Identifications Database (PRIDE) partner repository with the dataset identifier PXD027713. The protein structure of XCA-1 was inferred using the ColabFold AlphaFold2 notebook (101 , 102 (link)) (SI Appendix, Fig. S3, data available in FigShare [10.6084/m9.figshare.15084879]).
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